{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'C:\\\\Users\\\\CNJOHUA10\\\\kamidox\\\\work\\\\pandas_tutor'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "os.listdir?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "hello world\n"
     ]
    }
   ],
   "source": [
    "print('hello world')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "welcome to python spider world!\n"
     ]
    }
   ],
   "source": [
    "def hello():\n",
    "    print('welcome to python spider world!')\n",
    "\n",
    "hello()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "welcome to python spider world!\n"
     ]
    }
   ],
   "source": [
    "hello()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "u'C:\\\\Users\\\\CNJOHUA10\\\\kamidox\\\\work\\\\pandas_tutor'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%pwd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x607b0b0>]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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DF8kz++0H77wDNWrAEUf4HSiz5bXXoFkzfzbvG2+o2EdVSgXfzM4zswVmVmRm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\nIiJ54v8A42wJvv9FA/kAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x5f5b330>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import numpy as np\n",
    "import matplotlib.pylab as plt\n",
    "\n",
    "x = np.linspace(0, 2 * np.pi, num=100)\n",
    "y = np.sin(x)\n",
    "plt.plot(x, y)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
